Models and Algorithms of Optical Switching Systems with Decentralized Control

Barabanova, E. A.; Vytovtov, K. A.; Maltseva, Natalia Sergeevna; Kravchenko, O. V.; Kravchenko, Vladislav V.

doi:10.1109/eiconrus.2019.8657063

Cited by 9 publications

(1 citation statement)

References 7 publications

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“…Monitoring data can be obtained from monitoring programs and software systems that are part of the OSS / BSS (Eng. Operation Support System / Business Support System, operation support system business support system) systems used in the field of telecommunications [9,10,11,12,13].…”

Section: Data Preparationmentioning

confidence: 99%

Use of Fuzzy Neural Networks in Identification of the State of Data Transmission System Elements

Oleinikov¹,

Sorokin²,

Beresnev³

2020

Proceedings of the 8th Scientific Conference on Information Technologies for Intelligent Decision Making Support (ITIDS 2020)

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The possibilities of using direct distribution neural networks with a different number of hidden layers and fuzzy neural networks in the process of identifying operational states of data transmission system elements are compared. As input, it is proposed to use the data collected by monitoring systems of the telecommunications network operator. It takes into account factors that are presented not only in quantitative, but also in qualitative forms, used to fill the knowledge base of a fuzzy neural network, which allows a more complete analysis of the elements of complex socio-technical systems. Automation of the analysis of the operational states of the elements of data transmission systems will allow not only to relieve highly qualified specialists from routine work and improve the quality of decisions on repair or modernization, but also to predict critical, pre-emergency conditions of elements that can reduce the performance of the data transmission network in time.

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Section: Data Preparationmentioning

confidence: 99%